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The Haar Wavelet Transfer Function Model and Its Applications

Author

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  • Joanna Bruzda

    (Nicolaus Copernicus University in Toruñ)

Abstract

In the paper the Haar wavelet transfer function models are suggested as a way to parsimoniously parametrise the impulse responses and construct models with parameters providing an insight into the frequency content of the relationships under scrutiny. Besides, the models enable to verify hypotheses concerning changes of the regression parameters across dyadic scales (octave frequency bands). In the paper some theoretical properties of the models are investigated and an empirical illustration is provided. In the empirical study returns on WIG are modelled with the help of returns on S&P 500. Interestingly, besides the insight into the frequency content of the relationship, the empirical wavelet transfer function models also provided good forecasts.

Suggested Citation

  • Joanna Bruzda, 2011. "The Haar Wavelet Transfer Function Model and Its Applications," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 11, pages 141-154.
    • Handle: RePEc:cpn:umkdem:v:11:y:2011:p:141-154
    as

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    File URL: http://www.dem.umk.pl/dem/archiwa/v11/10_Bruzda_J.pdf
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    References listed on IDEAS

    as
    1. Richard Ashley & Randal Verbrugge, 2009. "Frequency Dependence in Regression Model Coefficients: An Alternative Approach for Modeling Nonlinear Dynamic Relationships in Time Series," Econometric Reviews, Taylor & Francis Journals, vol. 28(1-3), pages 4-20.
    2. Richard Ashley & Randal Verbrugge, 2009. "Frequency Dependence in Regression Model Coefficients: An Alternative Approach for Modeling Nonlinear Dynamic Relationships in Time Series," Econometric Reviews, Taylor & Francis Journals, vol. 28(1-3), pages 4-20.
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